Knowledge-based simulation and analysis of supply chain performance

Although various supply chain strategies such as vendor managed inventory (VMI) are used for keeping low inventory and reducing cost in supply chain management, most enterprises lack an integrated simulation system to mimic the behaviour and performance of supply chain partners so as to select the appropriate strategy for implementation. This paper presents a knowledge-based simulation approach for simulating the effect of downstream and upstream operations in supply chain. Based on the simulation result, the performance of supply chain partners can be analysed, evaluated and predicted. With the use of artificial intelligent (AI) techniques, the knowledge-based simulation platform (KBSP) can accumulate the successful experience of the enterprises in formulating and implementing supply chain strategies. The potential benefits of KBSP include the provision of guidance, solution and simulation environment for enterprises to reduce risks for their supply chain operations.

[1]  Alun D. Preece,et al.  Better Knowledge Management through Knowledge Engineering , 2001, IEEE Intell. Syst..

[2]  A. Gunasekaran,et al.  A framework for supply chain performance measurement , 2004 .

[3]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[4]  Thomas H. Davenport,et al.  Book review:Working knowledge: How organizations manage what they know. Thomas H. Davenport and Laurence Prusak. Harvard Business School Press, 1998. $29.95US. ISBN 0‐87584‐655‐6 , 1998 .

[5]  Evangelos Simoudis,et al.  Using case-based retrieval for customer technical support , 1992, IEEE Expert.

[6]  D. Simchi-Levi Designing And Managing The Supply Chain , 2007 .

[7]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[8]  R. D. Buzzell,et al.  Channel Partnerships Streamline Distribution , 1995 .

[9]  Chi Fai Cheung,et al.  A multi-perspective knowledge-based system for customer service management , 2003, Expert Syst. Appl..

[10]  George E. P. Box,et al.  Time Series Analysis: Forecasting and Control , 1977 .

[11]  Chi Fai Cheung,et al.  Automatic supervision of blanking tool wear using pattern recognition analysis , 1997 .

[12]  Philip M. Kaminsky,et al.  Designing and managing the supply chain : concepts, strategies, and case studies , 2007 .

[13]  Ian D. Watson,et al.  An Introduction to Case-Based Reasoning , 1995, UK Workshop on Case-Based Reasoning.

[14]  Zillur Rahman,et al.  Internet-based supply chain management: using the Internet to revolutionize your business , 2003, Int. J. Inf. Manag..